Könyv Joint Training for Neural Machine Translation Yong Cheng

Joint Training for Neural Machine Translation

Szerző: Yong Cheng
Nyelv: Angol
Kötés: Kemény kötésű
Elérhetőség: Beszállítói készleten
Küldés 10-13 napon belül
19 433 Ft
This book presents four approaches to jointly training bidirectional neural machine translation (NMT...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Kemény kötésű
Kiadva
2019
oldal
78
EAN
9789813297470
ISBN
9813297476
Enbook ID
24309222
Súly
454
Méretek
155 x 235 x 9

Teljes leírás

This book presents four approaches to jointly training bidirectional neural machine translation (NMT) models. First, in order to improve the accuracy of the attention mechanism, it proposes an agreement-based joint training approach to help the two complementary models agree on word alignment matrices for the same training data. Second, it presents a semi-supervised approach that uses an autoencoder to reconstruct monolingual corpora, so as to incorporate these corpora into neural machine translation. It then introduces a joint training algorithm for pivot-based neural machine translation, which can be used to mitigate the data scarcity problem. Lastly it describes an end-to-end bidirectional NMT model to connect the source-to-target and target-to-source translation models, allowing the interaction of parameters between these two directional models.

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